Custom AI Agent Development for Irish Businesses

What problem custom ai agent development solves

Off-the-shelf AI tools stop where your business gets specific. The workflows that actually cost you money are the ones no SaaS product models correctly.

Why businesses are looking for custom ai agent development

These searches come from people who have tried an off-the-shelf tool, hit its limits, and now want a custom integration against their own systems. They use precise language — APIs, agents, internal tooling — and they are comparing suppliers, not learning concepts. They convert on evidence rather than persuasion: a clear architecture, honest limitations, ownership of the code and a fixed scope. That is exactly how we deliver, so this page is written for that reader rather than for a general audience.

• custom ai agent development
• connect ai to our internal systems
• ai api integration company
• build an ai tool for our business
• custom ai development ireland

What to look for in custom ai agent development

Bring one task the off-the-shelf tools cannot complete and list every system, permission and approval it touches. That is enough to determine whether you need an API integration, a controlled agent or a simpler deterministic workflow.

• A precise architecture that works with internal permissions, APIs and data boundaries
• Evaluation criteria agreed before development rather than a persuasive prototype
• Approval gates, spend ceilings and logs for every consequential agent action
• Source-code, prompt and deployment ownership with no supplier lock-in

Can an agent act safely?

Least-privilege tools, allow-listed actions and human approval protect irreversible steps.

How is success measured?

We define realistic test cases and expected outcomes before implementation.

Will we depend on one model?

The integration is designed around your workflow and interfaces, with model choice kept replaceable where practical.

What you get

Fixed scope from €5,000. Bespoke engineering from €5,000, scoped and quoted per project after a discovery workshop.

• Agent architecture with clearly defined tools and limits
• Guardrails, approval gates and spend ceilings
• Integration with your internal APIs and databases
• Evaluation harness measuring task success, not vibes
• Observability: traces, costs, failures and retries
• Source code handover and team training

Technology we use

We build on proven, well-documented platforms so you are never locked into us.

• TypeScript
• Deno
• Supabase
• OpenAI
• Anthropic
• LangGraph-style orchestration
• Cloudflare

How the project runs

Discovery call (Day 0): A free 30-minute call where we map the exact agent workflow, the volumes involved and where the time is currently lost. Fixed scope & quote (Day 1–2): You get a written scope, a fixed price and a delivery date before a line of code is written. No hourly billing, no scope creep. Sandbox build (Day 3–12): We build in an isolated environment against copies of your real data, tuned to your tone of voice and your business rules. Shadow-mode pilot (Day 13–20): The AI runs alongside your team for 7 days. Every action is logged, nothing is sent without human approval, and accuracy is measured. Go live + training (Day 21): We launch on one channel, train your team on the override controls, and hand over full ownership of the build. Optimise & report (Ongoing): Optional monthly retainer: accuracy monitoring, prompt tuning, new workflows and a plain-English report of hours and euro saved.

Measured outcomes

Multi-step Reasoning — Plans and executes sequences, not single prompts. Audited Every action — Full log of what the agent did, why, and on whose approval. Owned By you — Source code, prompts and data handed over — no lock-in.

What is the difference between a chatbot and an AI agent?

A chatbot answers. An agent acts: it plans a sequence of steps, calls tools in your systems, checks results and either completes the task or escalates. That capability is also why approval gates and audit logs are non-negotiable.

How do you stop an agent doing something damaging?

Least-privilege tool access, explicit allow-lists for actions, approval gates on anything irreversible or financial, hard spend ceilings, and a dry-run mode used throughout the pilot before any write access is enabled.

Do we own the code?

Yes, completely. Source code, prompts, evaluation suites and data are handed over at the end of the project. We do not hold your build hostage on a subscription, and there is no lock-in.

What does a custom agent cost?

Bespoke agent projects start at €5,000 and are quoted fixed after a paid discovery workshop that produces the architecture and the evaluation criteria. Complex multi-system agents run higher, and we will tell you the range on the first call.

How do you measure whether the agent works?

With a task-success eval harness defined before the build: a set of realistic scenarios with expected outcomes, scored on every deploy. We publish that number rather than asking you to judge by feel.